{"data":{"slug":"gpt3-paper","etype":"paper","name":"Language Models are Few-Shot Learners (2020)","cat":"Scaling","subtitle":"The GPT-3 paper: capability from scale, tasks from prompts.","summary":"OpenAI showed that a 175B-parameter model could perform translation, arithmetic and reasoning tasks from examples in its prompt alone — in-context learning — validating the bet that scale itself produces generality and launching the API era.","attrs":null,"kf":null,"aliases":["GPT-3 paper","few-shot learners"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":null,"region":null,"asof":"2026-01-15","sources":[{"url":"https://arxiv.org/abs/2005.14165","label":"arXiv 2005.14165"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T06:35:49+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}